Incremental training for dynamic and scalable adapters
AssigneeBMC Software, Inc.
InventorsSai Eswar Garapati, Erhan Giral, Christopher Joel Holdbrooks
Life of this patent
Estimating the term…
Abstract
In described systems and techniques, network data may be analyzed using a combination of a primary model and a secondary model to obtain first network analysis results. A training instance of the secondary model may be trained using the network data and the first network analysis results. The secondary model may be updated using the training instance to obtain an updated secondary model. Additional network data may then be processed using a combination of the primary model and the updated secondary model.
Claims20
A computer program product, the computer program product being tangibly embodied on a non-transitory computer-readable storage medium and comprising instructions that, when executed by at least one computing device, are configured to cause the at least one computing device to:
- analyze network data using a combination of a primary model and a secondary model to obtain first network analysis results;
- train a training instance of the secondary model using the network data and the first network analysis results;
- update the secondary model using the training instance to obtain an updated secondary model;
- and
- process additional network data using a combination of the primary model and the updated secondary model.
A computer-implemented method, the method comprising:
- analyze network data using a combination of a primary model and a secondary model to obtain first network analysis results;
- train a training instance of the secondary model using the network data and the first network analysis results;
- update the secondary model using the training instance to obtain an updated secondary model;
- and
- process additional network data using a combination of the primary model and the updated secondary model.
A system comprising:
- at least one memory including instructions;
- and
- at least one processor that is operably coupled to the at least one memory and that is arranged and configured to execute instructions that, when executed, cause the at least one processor to:
- analyze network data using a combination of a primary model and a secondary model to obtain first network analysis results;
- train a training instance of the secondary model using the network data and the first network analysis results;
- update the secondary model using the training instance to obtain an updated secondary model;
- and
- process additional network data using a combination of the primary model and the updated secondary model.
Dependencies are inferred from the claim text.